Hao He (何浩)

I am a 4th year Ph.D student majoring Artificial Intelligence at HKUST and HKUST(GZ), supervised by Prof. Ying-Cong Chen, he is awesome!

Previously, I obtained a bachelor of science degree (B.S) in Electrical Eningeering at UCLA, and a master of science degree (M.S) majoring Electrical Engineering with Computer Science at USC.

Email  /  Github  /  Google Scholar

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Research

My current research interests mainly focus on the field of 3D vision, 3D understanding, reconstruction and generation.

Selected Publications
LucidFusion: Generating 3D Gaussians with Arbitrary Unposed Images
Hao He*, Yixun Liang*, Luozhou Wang, Yuanhao Cai, Xinli Xu, Hao-Xiang Guo, Xiang Wen, Ying-Cong Chen
Arxiv, 2024
Paper / Project Page / Code

ReTR: Modeling Rendering via Transformer for Generalizable Neural Surface Reconstruction
Yixun Liang*, Hao He*, Ying-Cong Chen
NeurIPS, 2023
Paper / Project Page / Code

CP-NeRF: Conditionally Parameterized Neural Radiance Fields for Cross-scene Novel View Synthesis
Hao He* , Yixun Liang*, Shi-shi Xiao, Jierun Chen, Ying-Cong Chen
Pacific Graphics, 2023
Paper / Project Page / Code(coming)

Label Name is Mantra: Unifying Point Cloud Segmentation across Heterogeneous Datasets
Yixun Liang*, Hao He*, Shi-shi Xiao, Hao Lu, Ying-Cong Chen
Pacific Graphics, 2024
Paper / Code

Run, Don’t Walk: Chasing Higher FLOPS for Faster Neural Networks
Jierun Chen, Shiu-hong Kao, Hao He, Weipeng Zhuo, Song Wen, Chul-Ho Lee, S.-H. Gary Chan
CVPR, 2023
Paper / Code


thanks for the awesome template